Staff Data Scientist
Job Lead
High-impact data science initiatives across marketing, growth, and product, from problem definition through methodology, execution, interpretation, and recommendation.
Define Org-Level Technical Strategy
Identify high-leverage opportunities, establish best practices for experimentation, causal measurement, modeling, AI-assisted development, and decision science.
Design, Analyze, and Interpret Experiments and Quasi-Experiments
Build scalable frameworks to estimate incrementality, treatment effects, and long-term business value.
Develop ML, Uplift, Heterogeneous Treatment Effect, and Adaptive Experimentation Models
Improve targeting, segmentation, personalization, lifecycle optimization, audience strategy, budget allocation, and product decisions.
Evaluate Acquisition, Retention, ROI, User Journeys, Funnels, Marketplace Dynamics, Donation Conversion, and Engagement
Use AI tools to accelerate prototyping, analysis, coding, debugging, documentation, and repetitive workflows without compromising quality, accuracy, or review standards.
Translate Complex Analyses into Clear Recommendations
For technical, non-technical, and executive audiences.
Collaborate with Data, Analytics, and Product Engineering
To improve instrumentation, data quality, experimentation infrastructure, and reusable data science workflows.
Mentor Data Scientists and Analysts
Through design reviews, model reviews, methodology discussions, AI-enabled workflows, and shared best practices.
Preferred Experience
With marketing measurement methods such as media mix modeling, multi-touch attribution, channel incrementality, forecasting, budget allocation, optimization, or ROI modeling.
Experience with Web, Mobile, Product, or Marketplace Analytics Tools
Such as Amplitude, Google Analytics, Optimizely, or GrowthBook.
Familiarity with Modern Data Platforms and Workflows
Such as Snowflake, Databricks, dbt, Airflow, Git, Looker, Tableau, or similar tools.